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This Cloud Architect Advanced program is an online program offered by Intellipaat. It will help you gain competencies in Cloud and DevOps. You will get to work on projects relating to AWS, Azure, DevOps, Python, Java, Splunk, Linux, and more. Upon the completion of the program, you will receive PLA Credits from Belhaven University as well as certifications from Microsoft.
Learning Format
Online
Duration
147 Hours
Career Services
by Intellipaat
12 PLA Credits from
Belhaven University
EMI Starts
at ₹8,000/month*
3109
1493
24542
In this program, you will cover 10 courses, 26 industry-based projects, and a CAPSTONE project. You will also receive official course material issued by Microsoft for ‘Integrating On-premises Identity Infrastructure with Microsoft Azure’ and ‘Implementing Security in Azure Development Solutions.’
About Belhaven University
Belhaven University is known for its nationally recognized academics, top-rated faculty, and affordability. Belhaven strives for excellence in higher education and has achieved prominence in education dating back to 1883. Every student is encouraged to develop and grow to the best of their potential.
Key achievements of Belhaven University:
Upon the completion of this program, you will:
Program in Collaboration with Microsoft
Benefits for students from Microsoft:
59% Average Salary Hike
$1,08,000 Highest Salary
700+ Career Transitions
300+ Hiring Partners
Career Transition Handbook
*Past record is no guarantee of future job prospects
They evaluate the alternatives of cloud technology and prepare a case for the best possible method.
These experts establish and manage database storage services, like BigQuery, RedShift, NoSQL, and SQL Server.
They are in charge of designing and delivering robust, secure, and innovative cloud solutions that will allow the development team to create new applications.
They are responsible for performing integration using MDM, SIEM vendors, SSO, Endpoint Security, and PAM.
They design, build, debug, and troubleshoot various software programs for applications, tools, databases, and networks.
These architects are responsible for designing, developing, and operating the various solutions and products of the cloud infrastructure.
Skills To Master
AWS EC2
ELB
GCP
Google APIs
Azure
Blobs
Replication
CD
Azure VM
Access Management
DevOps
Docker
Selenium
Maven
Jenkins
Nagios
Python
Lambda Functions
Pandas
Java
Linux
Splunk
Agile
Tools to Master
As a blockchain expert, David has been bringing integrated blockchain, particularly Hyperledger, Ethereum, and big data solutions, to the cloud. He has previously worked on Hadoop, AWS, big data, and Pentaho projects.
36 Hours 14 Module
Module 01 – Introduction to Cloud Computing & AWS
Module 02 – Elastic Compute and Storage Volumes
Module 03 – Load Balancing, Autoscaling and DNS
Module 04 – Virtual Private Cloud
Module 05 – Storage – Simple Storage Service (S3)
Module 06 – Databases and In-Memory DataStores
Module 07 – Management and Application Services
Module 08 – Access Management and Monitoring Services
Module 09 – Automation and Configuration management
Module 10 – AWS Migration
Self Paced
Module 11 – Architecting AWS – whitepaper
Module 12 – DevOps on AWS
Module 13 – Amazon FSx and Global Accelerator
Module 14 – AWS Architect Interview Questions
30 Hours 10 Module
Module 01 – Introduction to Microsoft Azure
Module 02 – Introduction to ARM & Azure Storage
Module 03 – Introduction to Azure storage
Module 04 – Azure Virtual Machines
Module 05 – Azure App and Container services
Module 06 – Azure Networking – I
Module 07 – Azure Networking – II
Module 08 – Authentication and Authorization in Azure using RBAC
Module 09 – Microsoft Azure Active Directory
Module 10 – Azure Monitoring
33 Hours 21 Module
Module 01 – Infrastructure Setup
Module 02 – Introduction to DevOps
Module 03 – Version Control with Git
Module 04 – Containerization Using Docker – 1
Module 05 – Configuration Management using Puppet
Module 06 – Ansible
Module 07 – Continuous Testing using Selenium
Module 08 – Continuous Integration with Jenkins
Module 09 – Introduction to Kubernetes Part 1
Module 10 – Introduction to Kubernetes Part 2
Module 11 – Continuous Monitoring using ELK
Module 12 – Terraform Modules & Workspaces
42 Hours 12 Module
Module 01 – Python Environment Setup and Essentials
Module 02 – Python language Basic Constructs
Module 03 – OOP concepts in Python
Module 04 – Database connection
Module 05 – NumPy for mathematical computing
Module 06 – SciPy for scientific computing
Module 07 – Matplotlib for data visualization
Module 08 – Pandas for data analysis and machine learning
Module 09 – Exception Handling
Module 10 – Multi Threading & Race Condition
Module 11 – Packages and Functions
Module 12 – Web scraping with Python
24 Hours 8 Module
Module 01 – Introduction to Google Cloud
Module 02 – Google Cloud Services
Module 03 – Google Computing Services
Module 04 – Google Storage Services
Module 05 – Google Cloud APIs
Module 06 – Google Networking Services
Module 07 – IAM & Security Services
Module 08 – Migrating to Google Cloud
16 Hours 17 Module
Module 01 – Core Java Concepts
Module 02 – Writing Java Programs using Java Principles
Module 03 – Language Conceptuals
Module 04 – Operating with Java Statements
Module 05 – Concept of Objects and Classes
Module 06 – Introduction to Core Classes
Module 07 – Inheritance in Java
Module 08 – Exception Handling in Detail
Module 09 – Getting started with Interfaces and Abstract Classes
Module 10 – Overview of Nested Classes
Module 11 – Getting started with Java Threads
Module 12 – Overview of Java Collections
Module 13 – Understanding JDBC
Module 14 – Java Generics
Module 15 – Input/Output in Java
Module 16 – Getting started with Java Annotations
Module 17 – Reflection and its Usage
26 Hours 39 Module
Module 1 – Splunk Development Concepts
Module 2 – Basic Searching
Module 3 – Using Fields in Searches
Module 4 – Saving and Scheduling Searches
Module 5 – Creating Alerts
Module 6 – Scheduled Reports
Module 7 – Tags and Event Types
Module 8 – Creating and Using Macros
Module 9 – Workflow
Module 10 – Splunk Search Commands
Module 11 – Transforming Commands
Module 12 – Reporting Commands
Module 13 – Mapping and Single Value Commands
Module 14 – Splunk Reports and Visualizations
Module 15 – Analyzing, Calculating and Formatting Results
Module 16 – Correlating Events
Module 17 – Enriching Data with Lookups
Module 18 – Creating Reports and Dashboards
Module 19 – Getting Started with Parsing
Module 20 – Using Pivot
Module 21 – Common Information Model (CIM) Add-On
Splunk Administration Topics
Module 22 – Overview of Splunk
Module 23 – Splunk Installation
Module 24 – Splunk Installation in Linux
Module 25 – Distributed Management Console
Module 26 – Introduction to Splunk App
Module 27 – Splunk Indexes and Users
Module 28 – Splunk Configuration Files
Module 29 – Splunk Deployment Management
Module 30 – Splunk Indexes
Module 31 – User Roles and Authentication
Module 32 – Splunk Administration Environment
Module 33 – Basic Production Environment
Module 34 – Splunk Search Engine
Module 35 – Various Splunk Input Methods
Module 36 – Splunk User and Index Management
Module 37 – Machine Data Parsing
Module 38 – Search Scaling and Monitoring
Module 39 – Splunk Cluster Implementation
16 Hours 10 Module
Module 01 – Introduction to Linux
Module 02 – File Management
Module 03 – Files and Processes
Module 04 – Introduction to Shell Scripting
Module 05 – Conditional, Looping statements and Functions
Module 06 – Text Processing
Module 07 – Scheduling Tasks
Module 08 – Advanced Shell Scripting
Module 09 – Database Connectivity
Module 10 – Linux Networking
36 Hours 14 Module
Module 1 – Introduction to Microsoft Azure
Module 2 – Introduction to ARM & Azure Storage
Module 3 – Introduction to Azure storage
Module 4 – Azure Virtual Machines
Module 5 – Azure App and Container Services
Module 6 – Azure Networking
Module 7 – Azure Networking – II
Module 8 – Authentication and Authorization in Azure using RBAC
Module 9 – Microsoft Azure Active Directory
Module 10 – Azure Monitoring
Module 11 – Multi Factor Authentication (MFA)
Module 12 – Migration in Azure
Module 13 – Azure Data Platform – I
Module 14 – Azure Data Platform – II
6 Hours 7 Module
Module 1 – Introducing Agile Principles
Module 2 – Defining the Agile Framework
Module 3 – Agile Ceremonies and Artifacts
Module 4 – Refining the Product Backlog
Module 5 – Estimating and Prioritizing Product Backlog Items
Module 6 – Agile Responsibilities to the Team
The following projects are included in the Advanced program to help you receive the required industry-relevant experience in the Cloud domain.
Practice 100+ Essential Tools
Designed by Industry Experts
Get Real-world Experience
Total Admission Fee
EMI Starts at
We partnered with financing companies to provide competitive finance options at 0% interest rate with no hidden costs
Financing Partners
| Date | Time | Batch Type | |
|---|---|---|---|
| Regular Classes | 15th Dec 2024 | 08:00 PM IST | Weekend (Sat-Sun) |
The Cloud Architect online Advanced program led will train you in everything that the industry demands and help you become a successful Cloud Architect with all the right skills. The courses are designed to meet industry standards and requirements. After completion of the program, you will receive a PLA Credits from Belhaven University.
You will work on several industry-based projects and assignments as part of the training. Getting certified in this Advanced program will prepare you well for some of the top-paying jobs around the world.
To get the certification, you will first need to sign up for our Cloud Architect online Advanced program. Once you successfully complete the program along with all the projects and assignments, you will receive PLA Credits from Belhaven University.
Our Learning Management System (LMS) offers a highly customized learning experience that includes both live sessions & self-paced videos. In case you miss a live session, you will be able to watch the recorded video of the session
For information on the Cloud Architect Advanced program, you can get in touch with our course advisors.
Belhaven University PLA Credits Assessed for this course is 12.
*Note, there is a maximum number of PLA credits that may be applied toward a degree program. Refer to the Belhaven University website for the latest on PLA policies.
Please note that the course fees is non-refundable and we will be at every step with you for your upskilling and professional growth needs.
Due to any reason you want to defer the batch or restart the classes in a new batch then you need to send the batch defer request on [email protected] and only 1 time batch defer request is allowed without any additional cost.
Learner can request for batch deferral to any of the cohorts starting in the next 3-6 months from the start date of the initial batch in which the student was originally enrolled for. Batch deferral requests are accepted only once but you should not have completed more than 20% of the program. If you want to defer the batch 2nd time then you need to pay batch defer fees which is equal to 10% of the total course fees paid for the program + Taxes.
Yes, Intellipaat certification is highly recognized in the industry. Our alumni work in more than 10,000 corporations and startups, which is a testament that our programs are industry-aligned and well-recognized. Additionally, the Intellipaat program is in partnership with the National Skill Development Corporation (NSDC), which further validates its credibility. Learners will get an NSDC certificate along with Intellipaat certificate for the programs they enroll in.
What is included in this course?
